An Analysis and Survey on Application of Artificial Intelligence Sub-fields in Wound Care

Artificial Intelligence (AI), as one of the new technologies, has played a very important role in wound care. Wound care is an essential field of healthcare that involves the proper management and treatment of wounds to promote complete and timely healing and prevent complications that may lead to amputation, infection, and other potentially life-threatening outcomes. While AI tools have been employed to evaluate wound care, efforts are needed to increase their potential impact on wound care education. The integration of artificial intelligence into health education, especially wound care, represents a paradigm shift in the way educational content is presented and processed. AI has some major subfields including Machine Learning (ML), robotics, Natural Language Processing (NLP), Virtual Reality, expert systems, neural network, and Augmented Reality (AR). One of the advancements is the integration of AI subfields. For example, Augmented Reality with machine learning algorithms facilitates real-time interventions and diagnostic information. In this paper, we identify and describe which AI subfields have been applied to the improvement of wound care. In the current year, we created and distributed a special nursing form among ۱۱۰ nurses in Tehran about current AI branches and their application in wound care. A total of ۹۴ responses were submitted. We examined AI subfields research topics and designed a questionnaire based on the themes mentioned. Nurses with cognition in AI were eligible to participate. Questions asked centered on participants’ perspectives of AI within their respective hospitals. We gathered their responses on our proposed topics of research trends in AI subfields. From ۱۱۰ forms distributed and ۹۴ responses submitted, the top six reported (n=۹۴, ۸۵%) research areas were as follows: Machine learning (n=۴۰, ۴۲.۵%); AR (n=۲۵, ۲۶.۶%); VR research (n=۱۲, ۱۲.۸%); Robotics (n=۱۲, ۱۲.۸%); and Expert systems (n=۵, ۵.۳%). Respondents reported that AI research focusing on education, clinical practice, administration, and theory was limited. Current research shows Iranian nurses to focus on applying machine learning techniques to facilitate earlier identification of wounds at risk of not healing or healing after an abnormally long time, which may improve treatment decisions and patient outcomes.

کلیدواژه ها:

Artificial intelligence ، Wound Care ، Nursing